Python is a seriously powerful library widely used for data analysis. In this course, we'll dig into the Pandas and NumPy libraries that can be used to speed up the process of analyzing large data sets.
The goal of the course is to take large data sets and draw conclusions based on the features found in Python and its affiliated libraries.
Building on the Python basics, we'll set up an environment for Python development, and use it to analyze data sets large and small. This course will include a variety of hands-on activities. Students can expect to leave this course with a greater understanding of data analysis and data frameworks, so they can immediately put their new skills to work.
Learners must have attended the "Python Workshop: Introduction and Beyond" class, OR have equivalent knowledge/experience.